ONIQ IQ/A

Additional features

1. Reconstructs value streams automatically from existing data

IQA takes data from existing systems (like ERP, MES, or shop floor data) and automatically generates a visual representation of the value stream. This eliminates the time-consuming manual process of creating value stream maps on paper or with traditional drawing tools.

2. Continuously captures production and logistics processes

Unlike traditional value stream mapping, which is often a one-time snapshot, IQA continuously collects data and updates the digital twin. This provides a dynamic view of the value stream, reflecting real-time changes and allowing for ongoing monitoring and analysis.

3. Provides predefined Lean analyses

IQA comes with built-in analyses based on Lean principles. These analyses automatically identify common types of waste (muda) in production, such as overproduction, waiting, transportation, inventory, motion, over-processing, and defects.

4. Autonomously detects weaknesses and highlights improvement areas

The software automatically analyzes the digital twin and identifies areas where the value stream is inefficient. This includes highlighting bottlenecks, delays, excessive inventory, and other issues that hinder performance.

5. Machine Learning for root cause analysis

IQA uses machine learning algorithms to analyze data and identify the underlying causes of problems in the value stream. This goes beyond simply identifying symptoms and helps organizations address the root causes of inefficiencies.

6. Identifies complex correlations

Machine learning can uncover complex relationships between different variables in the production process that might be difficult or impossible to identify through manual analysis. This can lead to new insights and more effective improvement strategies.

7. Requires no configuration or specialized AI knowledge

IQA is designed to be user-friendly and doesn't require users to have expertise in AI or data science. The AI-powered analyses are built into the software and run automatically.

8. Automatic reconstruction of value streams

As explained above, this automates the creation of visual representations of the value stream.

9. Continuous capture of production and logistics processes

This provides a real-time, dynamic view of the value stream.

10. Provides a broad data foundation for analysis

By collecting data from various sources, IQA creates a comprehensive dataset for in-depth analysis.

11. Automated Lean analyses for waste detection

This automates the identification of the seven wastes of Lean.

12. Prioritization of action areas for improvement

IQA helps organizations focus their improvement efforts on the areas that will have the biggest impact.

13. AI-powered root cause analysis

This helps organizations address the underlying causes of waste and inefficiency.

14. Data-driven identification of untapped productivity opportunities

By analyzing data from the digital twin, IQA can identify opportunities to improve productivity that might not be obvious through traditional methods.

15. Continuous monitoring of manufacturing KPIs

IQA tracks key performance indicators (KPIs) and provides real-time feedback on process performance.

16. Supports daily shop floor management and continuous improvement process (CIP)

IQA provides tools and insights that can be used for daily shop floor management and to support ongoing continuous improvement initiatives.

17. Analysis of energy and CO2 footprint within the value stream

IQA analyzes data related to energy consumption and CO2 emissions within the production process.

18. Harmonization of efficiency and sustainability measures for holistic improvements

IQA helps organizations identify opportunities to reduce their environmental impact while also improving efficiency and reducing costs. This integrated approach to "Lean and Green" manufacturing ensures that sustainability initiatives are aligned with business goals.